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曹刘娟
厦门大学 副教授,博士生导师
媒体分析与计算实验室
地址:厦门大学海韵校区 行政C楼#705 邮编:361005
电子邮件:caoliujuan@xmu.edu.cn
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代表论文
L. Cao, W. Wang, J. Li. Vehicle Detection from Highway Satellite Images via Transfer Learning. Information Sciences, 2016, JCR-1区 M. Lin, L. Cao(通讯作者), S. Li, Q. Ye, Y. Tian, J. Liu, Q. Tian, R. Ji. Filter Sketch for Network Pruning. IEEE Transactions on Neural Networks and Learning Systems, 2021, JCR-1区 L. Cao, F. Luo, L. Chen, Y. Sheng, H. Wang, C. Wang, R. Ji. Weakly supervised vehicle detection in satellite images via multi-instance discriminative learning. Pattern Recognition, 2017, JCR-2区 R. Ji, F. Chen, L. Cao(通讯作者), Y. Gao. Cross-modality microblog sentiment prediction via bi-layer multimodal hypergraph learning. IEEE Transactions on Multimedia, 2018, JCR-2 区 L. Cao, R. Ji, C. Wang, J. Li. Towards Domain Adaptive Vehicle Detection in Satellite Image by Super vised Super-resolution Transfer. Proceedings of the AAAI Conference on Artificial Intelligence, 2016, 中国计算机学会A类 H. Chen, Y. Luo, L. Cao(通讯作者), B. Zhang, G. Guo, C. Wang, J. Li, R. Ji. Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. International Joint Conference on Artificial Intelligence, 2019,中国计算机学会A类 X. Sun, X. Zhang, L. Cao(通讯作者), Y. Wu, F. Huang, R. Ji. Exploring Language Prior for Mode-Sensitive Visual Attention Modeling. ACM Multimedia, 2020, 中国计算机学会A类 Z. Chen, L. Cao(通讯作者), Y. Shen, F. Lian, Y. Wu, R. Ji. E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization. ACM Multimedia, 2021, 中国计算机学会A类 J. Hu, L. Cao(通讯作者), T. Tong, Q. Ye, S. Zhang, K. Li, F. Huang, L. Shao, R. Ji. Architecture disentanglement for deep neural networks. IEEE International Conference on Computer Vision, 2021,中国计算机学会A类 Y. Shen, L. Cao(通讯作者), Z. Chen, B. Zhang, C. Su, Y. Wu, F. Huang, R. Ji. Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. IEEE International Conference on Computer Vision, 2021,中国计算机学会A类 Y. Shen, L. Cao(通讯作者), Z. Chen, F. Lian, B. Zhang, C. Su, Y. Wu, F. Huang, R. Ji. Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition, 2021, 中国计算机学会A类 曹刘娟, 匡华峰, 刘弘, 王言, 张宝昌, 黄飞跃, 吴永坚, 纪荣嵘. 《双标签监督的几何约束对抗训练》. 软件学报, 2021, 已录用, 一类高水平中文学术期刊
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